Share

Export Citation

APA
MLA
Chicago
Harvard
Vancouver
BIBTEX
RIS
Universitas Hasanuddin
Research output:Contribution to journalArticlepeer-review

Evaluation of cultivation technology package and corn variety based on agronomy characters and leaf green indices

Musa Y.

Open Agriculture

Q2
Published: 2024

Abstract

Abstract This study aimed to identify the best combination of corn technologies and varieties to increase yield, a study case in Torowang, South Sulawesi. The findings of this study used a split-plot design with three replications. The cultivation technology package is composed of planting spacing, chemical fertilizer, and biofertilizer, with three levels of treatment. Meanwhile, varieties treatment as subplot consisted of six varieties of treatment: Nasa 29, Bisi 18, Sinhas 1, NK7328, Pioneer 27, and ADV 313. The study determined the effectiveness of six agronomy and three chlorophyll pigment characters. Based on the results, varietal diversity dominates the differences in growth traits, both morphological and physiological. Varietal potential differs from the diversity of crop technology packages, which show no significant effect on all growth traits. However, the interaction between the growth package and varieties shows a significant effect, indicating that the crop technology package significantly affects the growth response. Yield was significantly correlated with plant height, 1,000 grain weight, peeled ear weight, chlorophyll content meter (CCM) chlorophyll, and NDVI-UAV. The total chlorophyll trait based on CCM showed a significant correlation with yield but did not correlate with NDVI-UAV. The study concluded that Pioneer 27 and ADV 313 varieties are recommended for cultivation in Takalar, with the combination of planting space of 75 × 20 cm + N:P:K fertilizer dose of 200:100:50 kg ha −1 + 25 kg of KNO 3 + 5 cc L −1 of Eco-Farming fertilizer to Pioneer 27 (Pc2V5) recommended. Further dissemination is required in other regions.

Access to Document

10.1515/opag-2022-0371

Other files and links

Fingerprint

AgronomySciences
Variety (cybernetics)Sciences
BiologySciences
MathematicsSciences
Agricultural engineeringSciences
EngineeringSciences
StatisticsSciences